Anomaly detection and subsegment analysis

ABSTRACT

Systems and techniques may be used for identifying a product from a uniform resource locator (URL) of a website. A technique may include receiving the URL based on a user interaction with the website, the user interaction triggering an event on the website. In an example, the technique includes comparing the URL to a database of stored URLs. The technique may include determining a portion of the URL, comparing, for example using a regular expression, the portion of the URL to entries in a specified product name column of the database, and identifying a product in the specified product name column corresponding to the portion of the URL based on comparing the portion of the URL. The technique may include outputting an indication of the product.

BACKGROUND

Web commerce has become a nearly universal way to sell products.Managing web commerce websites is often done by a team of people, whouse web analytics to make design, structural, and interactive choicesfor the web commerce websites. Sales data from a website may be used todetermine whether a product is successful. However, the sales data doesnot tell the entire story, nor does it provide sufficient data to makeproactive decisions.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

In the drawings, which are not necessarily drawn to scale, like numeralsmay describe similar components in different views. To easily identifythe discussion of any particular element or act, the most significantdigit or digits in a reference number refer to the figure number inwhich that element is first introduced. Some nonlimiting examples areillustrated in the figures of the accompanying drawings in which:

FIG. 1 is a diagrammatic representation of a networked environment inwhich the present disclosure may be deployed in accordance with someexamples.

FIG. 2 is a diagrammatic representation of an experience analyticssystem that has both client-side and server-side functionality inaccordance with some examples.

FIG. 3 is a diagrammatic representation of a data structure asmaintained in a database in accordance with some examples.

FIG. 4 is a flowchart for a process in accordance with some examples.

FIG. 5 is a diagrammatic representation of a machine in the form of acomputer system within which a set of instructions may be executed forcausing the machine to perform any one or more of the methodologiesdiscussed herein in accordance with some examples.

FIG. 6 is a block diagram showing a software architecture, within whichexamples may be implemented in accordance with some examples.

FIG. 7 is a block diagram showing a product tracking process inaccordance with some examples.

FIGS. 8-9 are example user interfaces showing product matching inaccordance with some examples.

DETAILED DESCRIPTION

Systems and techniques described herein may be used for identifying aproduct from a uniform resource locator (URL) of a website. In someexamples, the URL may be compared to a set of URLs or other information(e.g., a product identifier) in a database to determine productinformation. In other examples, a portion of the URL may be used (e.g.,a string in the URL). The portion of the URL may be compared toinformation in a database, such as information in a particular column. Aregular expression may be used to obtain the portion of the URL or tosearch the database (e.g., to search the column) for the portion of theURL.

The systems and techniques described herein provide a technical solutionto determining information related to a product. An exampletechnological problem solved by these systems and techniques includeshow to determine when a product is loaded or displayed on a website,when the product is purchased or added to a cart to purchase, when aproduct page is viewed, conversion rate of the product, attractivenessof the product, or the like. These determinations may include pageviewsin the thousands or millions, making any manual process infeasible. Amanual process would further be prone to errors, and essentiallyimpossible to perform in any useful time frame. The technical solutionsdescribed herein may be used to provide insights or metrics related to aproduct quickly and accurately using objective search criteria (e.g.,via a regular expression).

Networked Computing Environment

FIG. 1 is a block diagram showing an example experience analytics system100 that analyzes and quantifies the user experience of users navigatinga client's website, mobile websites, and applications. The experienceanalytics system 100 can include multiple instances of a member clientdevice 102, multiple instances of a customer client device 106, andmultiple instances of a third-party server 108.

The member client device 102 is associated with a client of theexperience analytics system 100, where the client that has a websitehosted on the client's third-party server 108. For example, the clientcan be a retail store that has an online retail website that is hostedon a third-party server 108. An agent of the client (e.g., a webadministrator, an employee, etc.) can be the user of the member clientdevice 102.

Each of the member client devices 102 hosts a number of applications,including an experience analytics client 104. Each experience analyticsclient 104 is communicatively coupled with an experience analyticsserver system 124 and third-party servers 108 via a network 110 (e.g.,the Internet). An experience analytics client 104 can also communicatewith locally-hosted applications using Applications Program Interfaces(APIs).

The member client devices 102 and the customer client devices 106 canalso host a number of applications including Internet browsingapplications (e.g., Chrome, Safari, etc.). The experience analyticsclient 104 can also be implemented as a platform that is accessed by themember client device 102 via an Internet browsing application orimplemented as an extension on the Internet browsing application.

Users of the customer client device 106 can access client's websitesthat are hosted on the third-party servers 108 via the network 110 usingthe Internet browsing applications. For example, the users of thecustomer client device 106 can navigate to a client's online retailwebsite to purchase goods or services from the website. While the userof the customer client device 106 is navigating the client's website onan Internet browsing application, the Internet browsing application onthe customer client device 106 can also execute a client-side script(e.g., JavaScript (.*js)) such as an experience analytics script 122. Inone example, the experience analytics script 122 is hosted on thethird-party server 108 with the client's website and processed by theInternet browsing application on the customer client device 106. Theexperience analytics script 122 can incorporate a scripting language(e.g., a .*js file or a .json file).

In certain examples, a client's native application (e.g., ANDROID™ orIOS™ Application) is downloaded on the customer client device 106. Inthis example, the client's native application including the experienceanalytics script 122 is programmed in JavaScript leveraging a SoftwareDevelopment Kit (SDK) provided by the experience analytics server system124. The SDK includes Application Programming Interfaces (APIs) withfunctions that can be called or invoked by the client's nativeapplication.

In one example, the experience analytics script 122 records dataincluding the changes in the interface of the website being displayed onthe customer client device 106, the elements on the website beingdisplayed or visible on the interface of the customer client device 106,the text inputs by the user into the website, a movement of a mouse (ortouchpad or touch screen) cursor and mouse (or touchpad or touch screen)clicks on the interface of the website, etc. The experience analyticsscript 122 transmits the data to experience analytics server system 124via the network 110. In another example, the experience analytics script122 transmits the data to the third-party server 108 and the data can betransmitted from the third-party server 108 to the experience analyticsserver system 124 via the network 110.

An experience analytics client 104 is able to communicate and exchangedata with the experience analytics server system 124 via the network110. The data exchanged between the experience analytics client 104 andthe experience analytics server system 124, includes functions (e.g.,commands to invoke functions) as well as payload data (e.g., websitedata, texts reporting errors, insights, merchandising information,adaptability information, images, graphs providing visualizations ofexperience analytics, session replay videos, zoning and overlays to beapplied on the website, etc.).

The experience analytics server system 124 supports various services andoperations that are provided to the experience analytics client 104.Such operations include transmitting data to and receiving data from theexperience analytics client 104. Data exchanges to and from theexperience analytics server system 124 are invoked and controlledthrough functions available via user interfaces (UIs) of the experienceanalytics client 104.

The experience analytics server system 124 provides server-sidefunctionality via the network 110 to a particular experience analyticsclient 104. While certain functions of the experience analytics system100 are described herein as being performed by either an experienceanalytics client 104 or by the experience analytics server system 124,the location of certain functionality either within the experienceanalytics client 104 or the experience analytics server system 124 maybe a design choice. For example, it may be technically preferable toinitially deploy certain technology and functionality within theexperience analytics server system 124 but to later migrate thistechnology and functionality to the experience analytics client 104where a member client device 102 has sufficient processing capacity.

Turning now specifically to the experience analytics server system 124,an Application Program Interface (API) server 114 is coupled to, andprovides a programmatic interface to, application servers 112. Theapplication servers 112 are communicatively coupled to a database server118, which facilitates access to a database 300 that stores dataassociated with experience analytics processed by the applicationservers 112. Similarly, a web server 120 is coupled to the applicationservers 112, and provides web-based interfaces to the applicationservers 112. To this end, the web server 120 processes incoming networkrequests over the Hypertext Transfer Protocol (HTTP) and several otherrelated protocols.

The Application Program Interface (API) server 114 receives andtransmits message data (e.g., commands and message payloads) between themember client device 102 and the application servers 112. Specifically,the Application Program Interface (API) server 114 provides a set ofinterfaces (e.g., routines and protocols) that can be called or queriedby the experience analytics client 104 or the experience analyticsscript 122 in order to invoke functionality of the application servers112. The Application Program interface (API) server 114 exposes to theexperience analytics client 104 various functions supported by theapplication servers 112, including generating information on errors,insights, merchandising information, adaptability information, images,graphs providing visualizations of experience analytics, session replayvideos, zoning and overlays to be applied on the website, etc.

The application servers 112 host a number of server applications andsubsystems, including for example an experience analytics server 116.The experience analytics server 116 implements a number of dataprocessing technologies and functions, particularly related to theaggregation and other processing of data including the changes in theinterface of the website being displayed on the customer client device106, the elements on the website being displayed or visible on theinterface of the customer client device 106, the text inputs by the userinto the website, a movement of a mouse (or touchpad) cursor and mouse(or touchpad) clicks on the interface of the website, etc. received frommultiple instances of the experience analytics script 122 on customerclient devices 106. The experience analytics server 116 implementsprocessing technologies and functions, related to generating userinterfaces including information on errors, insights, merchandisinginformation, adaptability information, images, graphs providingvisualizations of experience analytics, session replay videos, zoningand overlays to be applied on the website, etc. Other processor andmemory intensive processing of data may also be performed server-side bythe experience analytics server 116, in view of the hardwarerequirements for such processing.

In some examples, the third-party server 108 may include a database 126(or be communicatively coupled to the database 126). The database 126may store data related to products, for example for sale at the website.The database 126 may include multiple columns with data related to theproducts. Example columns may include a sale price column, a productidentifier column (e.g., a list of numbers corresponding to products), aproduct name column, a URL column (e.g., for a website where the productis available for purchase), a product description column, or the like.The database 126 may be accessed by the experience analytics serversystem 124 or the member client device 102 (e.g., via the experienceanalytics client 104) to provide data (e.g., from the product identifiercolumn) for the product. The experience analytics server system 124 orthe member client device 102 may query the database 126 (e.g., using aregular expression) using a URL or a portion of a URL to determinewhether product data is in the database 126. When a match to the URL orthe portion of the is in the database 126, the third-party server 108may send data related to the product (e.g., a product name, a productdescription, a sale price, etc.) to the experience analytics serversystem 124 or the member client device 102.

System Architecture

FIG. 2 is a block diagram illustrating further details regarding theexperience analytics system 100 according to some examples.Specifically, the experience analytics system 100 is shown to comprisethe experience analytics client 104 and the experience analytics server116. The experience analytics system 100 embodies a number ofsubsystems, which are supported on the client-side by the experienceanalytics client 104 and on the server-side by the experience analyticsserver 116. These subsystems include, for example, a data managementsystem 202, a data analysis system 204, a zoning system 206, a sessionreplay system 208, a journey system 210, a merchandising system 212, anadaptability system 214, an insights system 216, an errors system 218,and an application conversion system 220.

The data management system 202 is responsible for receiving functions ordata from the member client devices 102, the experience analytics script122 executed by each of the customer client devices 106, and thethird-party servers 108. The data management system 202 is alsoresponsible for exporting data to the member client devices 102 or thethird-party servers 108 or between the systems in the experienceanalytics system 100. The data management system 202 is also configuredto manage the third-party integration of the functionalities ofexperience analytics system 100.

The data analysis system 204 is responsible for analyzing the datareceived by the data management system 202, generating data tags,performing data science and data engineering processes on the data.

The zoning system 206 is responsible for generating a zoning interfaceto be displayed by the member client device 102 via the experienceanalytics client 104. The zoning interface provides a visualization ofhow the users via the customer client devices 106 interact with eachelement on the client's website. The zoning interface can also providean aggregated view of in-page behaviors by the users via the customerclient device 106 (e.g., clicks, scrolls, navigation). The zoninginterface can also provide a side-by-side view of different versions ofthe client's website for the client's analysis. For example, the zoningsystem 206 can identify the zones in a client's website that areassociated with a particular element in displayed on the website (e.g.,an icon, a text link, etc.). Each zone can be a portion of the websitebeing displayed. The zoning interface can include a view of the client'swebsite. The zoning system 206 can generate an overlay including datapertaining to each of the zones to be overlaid on the view of theclient's website. The data in the overlay can include, for example, thenumber of views or clicks associated with each zone of the client'swebsite within a period of time, which can be established by the user ofthe member client device 102. In one example, the data can be generatedusing information from the data analysis system 204.

The session replay system 208 is responsible for generating the sessionreplay interface to be displayed by the member client device 102 via theexperience analytics client 104. The session replay interface includes asession replay that is a video reconstructing an individual user'ssession (e.g., visitor session) on the client's website. The user'ssession starts when the user arrives at the client's website and endsupon the user's exit from the client's website. A user's session whenvisiting the client's website on a customer client device 106 can bereconstructed from the data received from the user's experienceanalytics script 122 on customer client devices 106. The session replayinterface can also include the session replays of a number of differentvisitor sessions to the client's website within a period of time (e.g.,a week, a month, a quarter, etc.). The session replay interface allowsthe client via the member client device 102 to select and view each ofthe session replays. In one example, the session replay interface canalso include an identification of events (e.g., failed conversions,angry customers, errors in the website, recommendations or insights)that are displayed and allow the user to navigate to the part in thesession replay corresponding to the events such that the client can viewand analyze the event.

The journey system 210 is responsible for generating the journeyinterface to be displayed by the member client device 102 via theexperience analytics client 104. The journey interface includes avisualization of how the visitors progress through the client's website,page-by-page, from entry onto the website to the exit (e.g., in asession). The journey interface can include a visualization thatprovides a customer journey mapping (e.g., sunburst visualization). Thisvisualization aggregates the data from all of the visitors (e.g., userson different customer client devices 106) to the website, andillustrates the visited pages and in order in which the pages werevisited. The client viewing the journey interface on the member clientdevice 102 can identify anomalies such as looping behaviors andunexpected drop-offs. The client viewing the journey interface can alsoassess the reverse journeys (e.g., pages visitors viewed before arrivingat a particular page). The journey interface also allows the client toselect a specific segment of the visitors to be displayed in thevisualization of the customer journey.

The merchandising system 212 is responsible for generating themerchandising interface to be displayed by the member client device 102via the experience analytics client 104. The merchandising interfaceincludes merchandising analysis that provides the client with analyticson the merchandise to be promoted on the website, optimization of salesperformance, the items in the client's product catalog on a granularlevel, competitor pricing, etc. The merchandising interface can, forexample, comprise graphical data visualization pertaining to productopportunities, category, brand performance, etc. For instance, themerchandising interface can include the analytics on conversions (e.g.,sales, revenue) associated with a placement or zone in the clientwebsite.

The adaptability system 214 is responsible for creating accessibledigital experiences for the client's website to be displayed by thecustomer client devices 106 for users that would benefit from anaccessibility-enhanced version of the client's website. For instance,the adaptability system 214 can improve the digital experience for userswith disabilities, such as visual impairments, cognitive disorders,dyslexia, and age-related needs. The adaptability system 214 can, withproper user permissions, analyze the data from the experience analyticsscript 122 to determine whether an accessibility-enhanced version of theclient's website is needed, and can generate the accessibility-enhancedversion of the client's website to be displayed by the customer clientdevice 106.

The insights system 216 is responsible for analyzing the data from thedata management system 202 and the data analysis system 204 surfaceinsights that include opportunities as well as issues that are relatedto the client's website. The insights can also include alerts thatnotify the client of deviations from a client's normal business metrics.The insights can be displayed by the member client devices 102 via theexperience analytics client 104 on a dashboard of a user interface, as apop-up element, as a separate panel, etc. In this example, the insightssystem 216 is responsible for generating an insights interface to bedisplayed by the member client device 102 via the experience analyticsclient 104. In another example, the insights can be incorporated inanother interface such as the zoning interface, the session replay, thejourney interface, or the merchandising interface to be displayed by themember client device 102.

The errors system 218 is responsible for analyzing the data from thedata management system 202 and the data analysis system 204 to identifyerrors that are affecting the visitors to the client's website and theimpact of the errors on the client's business (e.g., revenue loss). Theerrors can include the location within the user journey on the websiteand the page that adversely affects (e.g., causes frustration for) theusers (e.g., users on customer client devices 106 visiting the client'swebsite). The errors can also include causes of looping behaviors by theusers, in-page issues such as unresponsive calls to action and slowloading pages, etc. The errors can be displayed by the member clientdevices 102 via the experience analytics client 104 on a dashboard of auser interface, as a pop-up element, as a separate panel, etc. In thisexample, the errors system 218 is responsible for generating an errorsinterface to be displayed by the member client device 102 via theexperience analytics client 104. In another example, the insights can beincorporated in another interface such as the zoning interface, thesession replay, the journey interface, or the merchandising interface tobe displayed by the member client device 102.

The application conversion system 220 is responsible for the conversionof the functionalities of the experience analytics server 116 asprovided to a client's website to a client's native mobile applications.For instance, the application conversion system 220 generates the mobileapplication version of the zoning interface, the session replay, thejourney interface, the merchandising interface, the insights interface,and the errors interface to be displayed by the member client device 102via the experience analytics client 104. The application conversionsystem 220 generates an accessibility-enhanced version of the client'smobile application to be displayed by the customer client devices 106.

The data management system 202 may store pageviews or unit pricescorresponding to out of stock items. The data analysis system 204 mayuse the stored pageviews or unit prices, for example along with anaverage conversion rate, to determine a loss indicator for the out ofstock item. The average conversion rate may be stored at the datamanagement system 202. The loss indicator may be output from theexperience analytics server 116, for example to a user device fordisplay.

Data Architecture

FIG. 3 is a schematic diagram illustrating database 300, which may bestored in the database 300 of the experience analytics server 116,according to certain examples. While the content of the database 300 isshown to comprise a number of tables, it will be appreciated that thedata could be stored in other types of data structures (e.g., as anobject-oriented database).

The database 300 includes a data table 302, a session table 304, azoning table 306, an error table 310, an insights table 312, amerchandising table 314, and a journeys table 308.

The data table 302 stores data regarding the websites and nativeapplications associated with the clients of the experience analyticssystem 100. The data table 302 can store information on the contents ofthe website or the native application, the changes in the interface ofthe website being displayed on the customer client device 106, theelements on the website being displayed or visible on the interface ofthe customer client device 106, the text inputs by the user into thewebsite, a movement of a mouse (or touchpad or touch screen) cursor andmouse touchpad or touch screen) clicks on the interface of the website,etc. The data table 302 can also store data tags and results of datascience and data engineering processes on the data. The data table 302can also store information such as the font, the images, the videos, thenative scripts in the website or applications, etc.

The session table 304 stores session replays for each of the client'swebsites and native applications.

The zoning table 306 stores data related to the zoning for each of theclient's websites and native applications including the zones to becreated and the zoning overlay associated with the websites and nativeapplications.

The journeys table 308 stores data related to the journey of eachvisitor to the client's website or through the native application.

The error table 310 stores data related to the errors generated by theerrors system 218 and the insights table 312 stores data related to theinsights generated by the insights table 312.

The merchandising table 314 stores data associated with themerchandising system 212. For example, the data in the merchandisingtable 314 can include the product catalog for each of the clients,information on the competitors of each of the clients, the dataassociated with the products on the websites and applications, theanalytics on the product opportunities and the performance of theproducts based on the zones in the website or application, etc.

Process

Although the described flowcharts can show operations as a sequentialprocess, many of the operations can be performed in parallel orconcurrently. In addition, the order of the operations may bere-arranged. A process is terminated when its operations are completed.A process may correspond to a method, a procedure, an algorithm, etc.The operations of methods may be performed in whole or in part, may beperformed in conjunction with some or all of the operations in othermethods, and may be performed by any number of different systems, suchas the systems described herein, or any portion thereof, such as aprocessor included in any of the systems.

FIG. 4 is a schematic diagram illustrating a process 400 for identifyinga product from a uniform resource locator (URL) of a website.

The process 400 includes an operation 402 to receive a uniform resourcelocator (URL) based on a user interaction with a website, the userinteraction triggering an event on the website. The user interaction mayinclude a user selecting an indication, such as to purchase the producton the website (e.g., selecting a “buy now” icon, an “add to cart” icon,a click on an element, a page view, etc.). In some examples, the userinteraction may not necessarily be related to a product (e.g., a pageview).

The process 400 includes an optional operation 404 to compare the URL toa URL or other column of a database. This optional operation may be usedas a first attempt (e.g., comparing the URL to a URL column), and asecond attempt may be performed in operations 406-408 below, such as afallback field.

The process 400 includes an operation 406 to determine a portion of theURL. In an example where optional operation 404 was performed, operation406 may occur in response to the comparing providing no result for theURL in the database. When operation 404 is omitted, the determination inoperation 406 may be performed without being in response to a comparisonproviding no result. The portion of the URL may correspond to a productidentifier, such as a stock keeping unit (SKU), a universal product code(UPC), etc.

The process 400 includes an operation 408 to compare, using a regularexpression, the portion of the URL to entries in a specified productname column of the database. The entries in the specified product namecolumn may include stock keeping units (SKUs) corresponding to products(e.g., products sold on the website).

The process 400 includes an operation 410 to identify a product in thespecified product name column corresponding to the portion of the URLbased on comparing the portion of the URL. In some examples, thespecified product name column includes multiple product variantscorresponding to the portion of the URL. In these examples, the productidentified may be a first product of the multiple product variants thatis identified when comparing the portion of the URL (e.g., a producthighest listed in the column, a first variant identified, etc.). Theportion of the URL or the specified product name column may bedetermined or specified based on the website. For example, a merchantowning or operating the website may specify a column in a database thatincludes product identifiers (e.g., a column labeled “products”) or aportion of a URL that includes a product identifier after the third “/”in the URL, a string corresponds to a product identifier, or the like).

The process 400 includes an operation 412 to output an indication of theproduct. In an example, the indication of the product may be displayed(e.g., on a user interface). The process 400 may include providing aninsight related to the user interaction for the product at the website.The insight may be displayed on a user interface. The insight mayinclude a conversion rate or attractiveness of the product, for example.

Machine Architecture

FIG. 5 is a diagrammatic representation of the machine 500 within whichinstructions 510 (e.g., software, a program, an application, an applet,an application, or other executable code) for causing the machine 500 toperform any one or more of the methodologies discussed herein may beexecuted. For example, the instructions 510 may cause the machine 500 toexecute any one or more of the methods described herein. Theinstructions 510 transform the general, non-programmed machine 500 intoa particular machine 500 programmed to carry out the described andillustrated functions in the manner described. The machine 500 mayoperate as a standalone device or may be coupled (e.g., networked) toother machines. In a networked deployment, the machine 500 may operatein the capacity of a server machine or a client machine in aserver-client network environment, or as a peer machine in apeer-to-peer (or distributed) network environment. The machine 500 maycomprise, but not be limited to, a server computer, a client computer, apersonal computer (PC), a tablet computer, a laptop computer, a netbook,a set-top box (STB), a personal digital assistant (PDA), anentertainment media system, a cellular telephone, a smartphone, a mobiledevice, a wearable device (e.g., a smartwatch), a smart home device(e.g., a smart appliance), other smart devices, a web appliance, anetwork router, a network switch, a network bridge, or any machinecapable of executing the instructions 510, sequentially or otherwise,that specify actions to be taken by the machine 500. Further, while onlya single machine 500 is illustrated, the term “machine” shall also betaken to include a collection of machines that individually or jointlyexecute the instructions 510 to perform any one or more of themethodologies discussed herein. The machine 500, for example, maycomprise the member client device 102 or any one of a number of serverdevices forming part of the experience analytics server 116. In someexamples, the machine 500 may also comprise both client and serversystems, with certain operations of a particular method or algorithmbeing performed on the server-side and with certain operations of theparticular method or algorithm being performed on the client-side.

The machine 500 may include processors 504, memory 506, and input/outputI/O components 502, which may be configured to communicate with eachother via a bus 540. In an example, the processors 504 (e.g., a CentralProcessing Unit (CPU), a Reduced instruction Set Computing (RISC)Processor, a Complex Instruction Set Computing (CISC) Processor, aGraphics Processing Unit (GPU), a Digital Signal Processor (DSP), anApplication Specific Integrated Circuit (ASIC), a Radio-FrequencyIntegrated Circuit (RFIC), another processor, or any suitablecombination thereof) may include, for example, a processor 508 and aprocessor 512 that execute the instructions 510. The term “processor” isintended to include multi-core processors that may comprise two or moreindependent processors (sometimes referred to as “cores”) that mayexecute instructions contemporaneously. Although FIG. 5 shows multipleprocessors 504, the machine 500 may include a single processor with asingle-core, a single processor with multiple cores (e.g., a multi-coreprocessor), multiple processors with a single core, multiple processorswith multiples cores, or any combination thereof.

The memory 506 includes a main memory 514, a static memory 516, and astorage unit 518, both accessible to the processors 504 via the bus 540.The main memory 506, the static memory 516, and storage unit 518 storethe instructions 510 embodying any one or more of the methodologies orfunctions described herein. The instructions 510 may also reside,completely or partially, within the main memory 514, within the staticmemory 516, within machine-readable medium 520 within the storage unit518, within at least one of the processors 504 (e.g., within theprocessor's cache memory), or any suitable combination thereof, duringexecution thereof by the machine 500.

The I/O components 502 may include a wide variety of components toreceive input, provide output, produce output, transmit information,exchange information, capture measurements, and so on. The specific I/Ocomponents 502 that are included in a particular machine will depend onthe type of machine. For example, portable machines such as mobilephones may include a touch input device or other such input mechanisms,while a headless server machine will likely not include such a touchinput device. It will be appreciated that the I/O components 502 mayinclude many other components that are not shown in FIG. 5 . In variousexamples, the I/O components 502 may include user output components 526and user input components 528. The user output components 526 mayinclude visual components (e.g., a display such as a plasma displaypanel (PDP), a light-emitting diode (LED) display, a liquid crystaldisplay (LCD), a projector, or a cathode ray tube (CRT)), acousticcomponents (e.g.,., speakers), haptic components (e.g., a vibratorymotor, resistance mechanisms), other signal generators, and so forth.The user input components 528 may include alphanumeric input components(e.g., a keyboard, a touch screen configured to receive alphanumericinput, a photo-optical keyboard, or other alphanumeric inputcomponents), point-based input components (e.g., a mouse, a touchpad, atrackball, a joystick, a motion sensor, or another pointing instrument),tactile input components (e.g., a physical button, a touch screen thatprovides location and force of touches or touch gestures, or othertactile input components), audio input components (e.g., a microphone),and the like.

In further examples, the I/O components 502 may include biometriccomponents 530, motion components 532, environmental components 534, orposition components 536, among a wide array of other components. Forexample, the biometric components 530 include components to detectexpressions (e.g., hand expressions, facial expressions, vocalexpressions, body gestures, or eye-tracking), measure biosignals (e.g.,blood pressure, heart rate, body temperature, perspiration, or brainwaves), identify a person (e.g., voice identification, retinalidentification, facial identification, fingerprint identification, orelectroencephalogram-based identification), and the like. The motioncomponents 532 include acceleration sensor components (e.g.,accelerometer), gravitation sensor components, rotation sensorcomponents (e.g., gyroscope).

The environmental components 534 include, for example, one or cameras(with still image/photograph and video capabilities), illuminationsensor components (e.g., photometer), temperature sensor components(e.g., one or more thermometers that detect ambient temperature),humidity sensor components, pressure sensor components (e.g.,barometer), acoustic sensor components (e.g., one or more microphonesthat detect background noise), proximity sensor components (e.g.,infrared sensors that detect nearby objects), gas sensors (e.g., gasdetection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment.

With respect to cameras, the member client device 102 may have a camerasystem comprising, for example, front cameras on a front surface of themember client device 102 and rear cameras on a rear surface of themember client device 102. The front cameras may, for example, be used tocapture still images and video of a user of the member client device 102(e.g., “selties”). The rear cameras may, for example, be used to capturestill images and videos in a more traditional camera mode. In additionto front and rear cameras, the member client device 102 may also includea 360° camera for capturing 360° photographs and videos.

Further, the camera system of a member client device 102 may includedual rear cameras (e.g., a primary camera as well as a depth-sensingcamera), or even triple, quad or penta rear camera configurations on thefront and rear sides of the member client device 102. These multiplecameras systems may include a wide camera, an ultra-wide camera, atelephoto camera, a macro camera and a depth sensor, for example.

The position components 536 include location sensor components (e.g., aGPS receiver component), altitude sensor components (e.g., altimeters orbarometers that detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 502 further include communication components 538operable to couple the machine 500 to a network 522 or devices 524 viarespective coupling or connections. For example, the communicationcomponents 538 may include a network interface component or anothersuitable device to interface with the network 522. In further examples,the communication components 538 may include wired communicationcomponents, wireless communication components, cellular communicationcomponents, Near Field Communication (NEC) components, Bluetooth®components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and othercommunication components to provide communication via other modalities.The devices 524 may be another machine or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a USB).

Moreover, the communication components 538 may detect identifiers orinclude components operable to detect identifiers. For example, thecommunication components 538 may include Radio Frequency Identification(RFID) tag reader components, NFC smart tag detection components,optical reader components (e.g., an optical sensor to detectone-dimensional bar codes such as Universal Product Code (UPC) bar code,multi-dimensional bar codes such as Quick Response (QR) code, Azteccode, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2Dbar code, and other optical codes), or acoustic detection components(e.g., microphones to identify tagged audio signals). In addition, avariety of information may be derived via the communication components538, such as location via Internet Protocol (IP) geolocation, locationvia Wi-Fi® signal triangulation, location via detecting an NEC beaconsignal that may indicate a particular location, and so forth.

The various memories (e.g., main memory 514, static memory 516, andmemory of the processors 504) and storage unit 518 may store one or moresets of instructions and data structures (e.g., software) embodying orused by any one or more of the methodologies or functions describedherein. These instructions (e.g., the instructions 510), when executedby , processors 504, cause various operations to implement the disclosedexamples.

The instructions 510 may be transmitted or received over the network522, using a transmission medium, via a network interface device (e.g.,a network interface component included in the communication components538) and using any one of several well-known transfer protocols (e.g.,hypertext transfer protocol (HTTP)). Similarly, the instructions 510 maybe transmitted or received using a transmission medium via a coupling(e.g., a peer-to-peer coupling) to the devices 524.

Software Architecture

FIG. 6 is a block diagram 600 illustrating a software architecture 604,which can be installed on any one or more of the devices describedherein. The software architecture 604 is supported by hardware such as amachine 602 that includes processors 620, memory 626, and I/O components638. In this example, the software architecture 604 can beconceptualized as a stack of layers, where each layer provides aparticular functionality. The software architecture 604 includes layerssuch as an operating system 612, libraries 610, frameworks 608, andapplications 606. Operationally, the applications 606 invoke API calls650 through the software stack and receive messages 652 in response tothe API calls 650.

The operating system 612 manages hardware resources and provides commonservices. The operating system 612 includes, for example, a kernel 614,services 616, and drivers 622. The kernel 614 acts as an abstractionlayer between the hardware and the other software layers. For example,the kernel 614 provides memory management, processor management (e.g.,scheduling), component management, networking, and security settings,among other functionalities. The services 616 can provide other commonservices for the other software layers. The drivers 622 are responsiblefor controlling or interfacing with the underlying hardware. Forinstance, the drivers 622 can include display drivers, camera drivers,BLUETOOTH® or BLUETOOTH® Low Energy drivers, flash memory drivers,serial communication drivers (e.g., USB drivers), WI-FI® drivers, audiodrivers, power management drivers, and so forth.

The libraries 610 provide a common low-level infrastructure used by theapplications 606. The libraries 610 can include system libraries 618(e.g., C standard library) that provide functions such as memoryallocation functions, string manipulation functions, mathematicfunctions, and the like. In addition, the libraries 610 can include APIlibraries 624 such as media libraries (e.g., libraries to supportpresentation and manipulation of various media formats such as MovingPicture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC),Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC),Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group(JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries(e.g., an OpenGL framework used to render in two dimensions (2D) andthree dimensions (3D) in a graphic content on a display), databaselibraries (e.g., SQLite to provide various relational databasefunctions), web libraries (e.g., WebKit to provide web browsingfunctionality), and the like. The libraries 610 can also include a widevariety of other libraries 628 to provide many other APIs to theapplications 606.

The frameworks 608 provide a common high-level infrastructure that isused by the applications 606. For example, the frameworks 608 providevarious graphical user interface (GUI) functions, high-level resourcemanagement, and high-level location services. The frameworks 608 canprovide a broad spectrum of other APIs that can be used by theapplications 606, some of which may be specific to a particularoperating system or platform.

In an example, the applications 606 may include a home application 636,a contacts application 630, a browser application 632, a book readerapplication 634, a location application 642, a media application 644, amessaging application 646, a game application 648, and a broadassortment of other applications such as a third-party application 640.The applications 606 are programs that execute functions defined in theprograms. Various programming languages can be employed to create one ormore of the applications 606, structured in a variety of manners, suchas object-oriented programming languages (e.g., Objective-C, Java, orC++) or procedural programming languages (e.g., C or assembly language).In a specific example, the third-party application 640 (e.g., anapplication developed using the ANDROID™ or IOS™ software developmentkit (SDK) by an entity other than the vendor of the particular platform)may be mobile software running on a mobile operating system such asIOS™, ANDROID™, WINDOWS® Phone, or another mobile operating system. Inthis example, the third-party application 640 can invoke the API calls650 provided by the operating system 612 to facilitate functionalitydescribed herein.

Block Diagram

FIG. 7 is a block diagram 700 showing a product tracking process inaccordance with some examples. The block diagram 700 illustratesdifferent actions that may be taken by users on various websites relatedto a product. For example, at block 702, a page may be viewed withmultiple products. The product tracking process may include identifyingproducts on the page or in a zone of the page shown in block 702. Inthis example, URLs that are on the page (e.g., links displayed or hiddenon the page) may be collected. These URLs may be used at block 708 toidentify one or more products from the page shown in block 702. Block708 is described in more detail below.

At block 704, a product page is shown. The product page may include asingle product, a set of related products (e.g., variants, such asproducts that only vary by color, size, etc.), or the like. For theproduct page of block 704, the URL of the product page itself may becollected. The URL of the product page itself may include the URL usedto access the product page by the user, a redirect URL (e.g., aninitial, intermediate, or final URL used to access the product page), orthe like. The collected URL of the product page itself may be used atblock 708 to identify a product displayed or for sale on the productpage. In examples where variants are shown or available for purchase onthe product page, one or more variants may be determined at block 708.

At block 706, after selection of the buy now indication 710 or the addto cart indication 712, a product may be purchased or added to a cart topurchase. To identify the product purchased or to be purchased, aproduct identifier of the product may be collected. The productidentifier may be available based on the selection of one of theindications 710 or 712. For example, an event may trigger based on theselection, sending a SKU or product identifier to block 708.

At block 708, a URL or a product identifier may be compared to adatabase to obtain or store information related to a product or sale.Considering specific examples, at block 708 the product tracking processmay include comparing one or more of the URLs from block 702 to aparticular column of the database to determine which products weredisplayed, loaded, or viewed at the page of block 702. For example, theURLs collected from the page of block 702 may include one or more URLscorresponding to a product page (e.g., the product page of block 704)and one or more URLs corresponding to non-product pages (e.g., otherlinks, such as to social media, other websites, etc.). Those URLs thatcorrespond to a product page may have corresponding URLs or identifiersin the database. A URL may be compared to entries in a column of thedatabase to determine whether it corresponds to a product or not, andwhen there is a correspondence, what product corresponds to the URL. Insome examples, after determining a set of URLs of the URLs on the pageof block 702 that correspond to products, a page view for each of thedetermined products may be counted and stored.

When the URL is a pageview URL of a product page (e.g., at block 704),the product tracking process may include comparing the URL or a portionof the URL to the database at block 708. In some examples, the URL maybe stored in the database, and in these examples a direct URL to URLcomparison match may be made. In other examples, a portion of the URLmay be stored in an entry, for example in a particular column, which maybe specified (e.g., by an owner or operator of the page or website). Theportion of the URL may include a string, such as a product identifier(e.g., letters, numbers, etc.), a subset of the URL (e.g., omitting“https” or “www” or the like), etc. The product page URL may beprocessed (e.g., using a regular expression) to obtain a portion of theproduct page URL to be searched in the database. The search of thedatabase (e.g., of the particular column) may include attempting tomatch the processed portion of the product page URL to one or moreentries in the database. In some examples, the search of the databaseincludes using a regular expression to process one or more entries inthe database, and comparing the processed one or more entries to theprocessed portion of the product page URL (or directly to a URL or aportion of the URL). Once identified, a page view for the productcorresponding to the product page of block 704 may be counted andstored.

At block 708, the product identifier collected at block 706 may becompared to the database (e.g., comparing to a particular column of thedatabase). The comparison may use the product identifier withoutmodification to compare to product identifier examples in the database.In other examples, the product identifier from block 706 or informationstored in the database may be searched in a modified manner (e.g., usinga regular expression) to determine a match for the product identifierfrom block 706. Once identified, a conversion, click through, purchase,etc. may be may be counted and stored for the product of block 706corresponding to the product identifier.

User Interfaces

FIGS. 8-9 are example user interfaces showing product matching inaccordance with some examples. FIG. 8 shows a first product matchinguser interface 800 for searching a database. FIG. 9 shows a secondproduct matching user interface 900 (which in some examples may be thesame as user interface 800, such as after scrolling, a selection ismade, a parameter is set, or the like) for searching a database.

The user interface 800 provides options for how to match a URL orportion of a URL to a column in a database. For example, box 802includes an option to apply a regular expression on a URL. For example,a URL or set of URLs may be obtained from a website (e.g., as describedherein, such as with respect to FIG. 7 ). The regular expression in box802 may be applied to the URL or set of URLs to extract a string (e.g.,corresponding to a product identifier, a product name, etc.). The stringmay be used to search the database (e.g., for entries in a specifiedcolumn). The user interface 800 includes a string inclusion test box 804where a string may be checked to verify that it is included in a regularexpression entered in box 802. Box 804 provides a verification to ensurethat the regular expression has been correctly entered in box 802.

In some examples, the user interface 800 includes a field match box 806,which provides an opportunity for a user to enter a field to search in adatabase. A field may include a column, a set of entries (e.g., one ormore rows or columns, a subset of a row or column, etc.). The fieldidentifier entered in box 806 may include a title, metadata, oridentifier of a row, column, or set of entries in the database. Thetitle, metadata, or identifier may be part of the database (e.g., afirst entry in a column) or provided separately (e.g., an indicator inmetadata may point to or otherwise indicate a set of entries). The userinterface 800 includes a field search box 808, which allows a user toenter a regular expression (or other search) to apply on the catalogfield. The search box 808 may include an entry field for entry of aregular expression, which be similar to the one entered in box 802, insome examples.

In the example shown in user interface 800, any one or more (or none) ofthe boxes 802-808 may be used. For example, a search of a database mayinclude submitting a URL and receiving matches to the URL in itsentirety, using none of the boxes 802-808. In another example, a usermay enter a regular expression to apply on the website URL in box 802.In yet another example, a user may enter a regular expression to applyon the catalog field (e.g., database column) in box 808. In stillanother example, a user may enter a regular expression in both boxes 802and 808. In response to a search, the user interface 800 may present aresult, such as no match identified, an identified matching string, aproduct identifier, a product name, or the like.

The user interface 900 includes a fallback setup box 902. The fallbacksetup box 902 provides a backup opportunity to match an input to acolumn in the database. The fallback setup 902 includes an option for abackup field or regular expression 912 apply when searching a database.A primary field box 910 or primary regular expression box 914 may beused to provide a first field or first regular expression to use whensearching the database. In examples where the first field or regularexpression fails to find a match for a collected URL or portion of acollected URL, the fallback setup box 902 may be used. The fallbacksetup box 902 may include a secondary field box 906 or a secondaryregular expression box 908. In some examples, the secondary field box906 may be used to provide a second field to search after searching theprimary field from box 910. In some examples, the secondary regularexpression box 908 may be used to provide a second regular expression touse on entries in the database after searching using the primary regularexpression of box 912. The fallback setup box 902 includes a selectableindication 904 to delete a fallback entry (e.g., delete an entry in box906 or box 908, or both).

Either of the second field or the second regular expression may be used.In some examples, the second field may replace the first field, but usethe first regular expression, or the second regular expression mayreplace the first regular expression but use the first field. In someexamples, the second field and the second regular expression may replacethe first field and first regular expression. In some examples, thesecond field and second regular expression may be used separately andtogether. For example, a series of searches may be used, such as firstfield using first regular expression, first field using second regularexpression, second field using first regular expression, or second fieldusing second regular expression. More than one fallback field or regularexpression may be used (e.g., the fallback setup box 902 may includemultiple backup field boxes or multiple backup regular expressionboxes).

Glossary

“Carrier signal” refers to any intangible medium that is capable ofstoring, encoding, or carrying instructions for execution by themachine, and includes digital or analog communications signals or otherintangible media to facilitate communication of such instructions.Instructions may be transmitted or received over a network using atransmission medium via a network interface device.

“Client device” refers to any machine that interfaces to acommunications network to obtain resources from one or more serversystems or other client devices. A client device may be, but is notlimited to, a mobile phone, desktop computer, laptop, portable digitalassistants (PDAs), smartphones, tablets, ultrabooks, netbooks, laptops,multi-processor systems, microprocessor-based or programmable consumerelectronics, game consoles, set-top boxes, or any other communicationdevice that a user may use to access a network.

“Communication network” refers to one or more portions of a network thatmay be an ad hoc network, an intranet, an extranet, a virtual privatenetwork (VPN), a local area network (LAN), a wireless LAN (WLAN), a widearea network (WAN), a wireless WAN (WWAN), a metropolitan area network(MAN), the Internet, a portion of the Internet, a portion of the PublicSwitched Telephone Network (PSTN), a plain old telephone service (POTS)network, a cellular telephone network, a wireless network, a Wi-Fi®network, another type of network, or a combination of two or more suchnetworks. For example, a network or a portion of a network may include awireless or cellular network and the coupling may be a Code DivisionMultiple Access (CDMA) connection, a Global System for Mobilecommunications (GSM) connection, or other types of cellular or wirelesscoupling. In this example, the coupling may implement any of a varietyof types of data transfer technology, such as Single Carrier RadioTransmission Technology (1xRTT), Evolution-Data. Optimized (EVDO)technology, General Packet Radio Service (GPRS) technology, EnhancedData rates for GSM Evolution (EDGE) technology, third GenerationPartnership Project (3GPP) including 3G, fourth generation wireless (4G)networks, Universal Mobile Telecommunications System (UMTS), High SpeedPacket Access (HSPA), Worldwide Interoperability for Microwave Access(WiMAX), Long Term Evolution (LTE) standard, others defined by variousstandard-setting organizations, other long-range protocols, or otherdata transfer technology.

“Component” refers to a device, physical entity, or logic havingboundaries defined by function or subroutine calls, branch points, APIs,or other technologies that provide for the partitioning ormodularization of particular processing or control functions. Componentsmay be combined via their interfaces with other components to carry outa machine process. A component may be a packaged functional hardwareunit designed for use with other components and a part of a program thatusually performs a particular function of related functions. Componentsmay constitute either software components (e.g., code embodied on amachine-readable medium) or hardware components. A “hardware component”is a tangible unit capable of performing certain operations and may beconfigured or arranged in a certain physical manner. In variousexamples, one or more computer systems (e.g., a standalone computersystem, a client computer system, or a server computer system) or one ormore hardware components of a computer system (e.g., a processor or agroup of processors) may be configured by software (e.g., an applicationor application portion) as a hardware component that operates to performcertain operations as described herein. A hardware component may also beimplemented mechanically, electronically, or any suitable combinationthereof. For example, a hardware component may include dedicatedcircuitry or logic that is permanently configured to perform certainoperations. A hardware component may be a special-purpose processor,such as a field-programmable gate array (FPGA) or an applicationspecific integrated circuit (ASIC). A hardware component may alsoinclude programmable logic or circuitry that is temporarily configuredby software to perform certain operations. For example, a hardwarecomponent may include software executed by a general-purpose processoror other programmable processor. Once configured by such software,hardware components become specific machines (or specific components ofa machine) uniquely tailored to perform the configured functions and areno longer general-purpose processors. It will be appreciated that thedecision to implement a hardware component mechanically, in dedicatedand permanently configured circuitry, or in temporarily configuredcircuitry (e.g., configured by software), may be driven by cost and timeconsiderations. Accordingly, the phrase “hardware component”(or“hardware-implemented component”) should be understood to encompass atangible entity, be that an entity that is physically constructed,permanently configured (e.g., hardwired), or temporarily configured(e.g., programmed) to operate in a certain manner or to perform certainoperations described herein. Considering examples in which hardwarecomponents are temporarily configured (e.g., programmed), each of thehardware components need not be configured or instantiated at any oneinstance in time. For example, where a hardware component comprises ageneral-purpose processor configured by software to become aspecial-purpose processor, the general-purpose processor may beconfigured as respectively different special-purpose processors (e.g.,comprising different hardware components) at different times. Softwareaccordingly configures a particular processor or processors, forexample, to constitute a particular hardware component at one instanceof time and to constitute a different hardware component at a differentinstance of time. Hardware components can provide information to, andreceive information from, other hardware components. Accordingly, thedescribed hardware components may be regarded as being communicativelycoupled. Where multiple hardware components exist contemporaneously,communications may be achieved through signal transmission (e.g., overappropriate circuits and buses) between or among two or more of thehardware components. In examples in which multiple hardware componentsare configured or instantiated at different times, communicationsbetween such hardware components may be achieved, for example, throughthe storage and retrieval of information in memory structures to whichthe multiple hardware components have access. For example, one hardwarecomponent may perform an operation and store the output of thatoperation in a memory device to which it is communicatively coupled. Afurther hardware component may then, at a later time, access the memorydevice to retrieve and process the stored output. Hardware componentsmay also initiate communications with input or output devices, and canoperate on a resource (e.g., a collection of information). The variousoperations of example methods described herein may be performed, atleast partially, by one or more processors that are temporarilyconfigured (e.g., by software) or permanently configured to perform therelevant operations. Whether temporarily or permanently configured, suchprocessors may constitute processor-implemented components that operateto perform one or more operations or functions described herein. As usedherein, “processor-implemented component” refers to a hardware componentimplemented using one or more processors. Similarly, the methodsdescribed herein may be at least partially processor-implemented, with aparticular processor or processors being an example of hardware. Forexample, at least some of the operations of a method may be performed byone or more processors 1004 or processor-implemented components.Moreover, the one or more processors may also operate to supportperformance of the relevant operations in a “cloud computing”environment or as a “software as a service” (SaaS). For example, atleast some of the operations may be performed by a group of computers(as examples of machines including processors), with these operationsbeing accessible via a network (e.g., the Internet) and via one or moreappropriate interfaces (e.g., an API). The performance of certain of theoperations may be distributed among the processors, not only residingwithin a single machine, but deployed across a number of machines. Insome examples, the processors or processor-implemented components may belocated in a single geographic location (e.g., within a homeenvironment, an office environment, or a server farm). In otherexamples, the processors or processor-implemented components may bedistributed across a number of geographic locations.

“Computer-readable storage medium” refers to both machine-storage mediaand transmission media. Thus, the terms include both storagedevices/media and carrier waves/modulated data signals. The terms“machine-readable medium,” “computer-readable medium” and“device-readable medium” mean the same thing and may be usedinterchangeably , in this disclosure.

“Ephemeral message” refers to a message that is accessible for atime-limited duration. An ephemeral message may be a text, an image, avideo and the like. The access time for the ephemeral message may be setby the message sender. Alternatively, the access time may be a defaultsetting or a setting specified by the recipient. Regardless of thesetting technique, the message is transitory.

“Machine storage medium” refers to a single or multiple storage devicesand media (e.g., a centralized or distributed database, and associatedcaches and servers) that store executable instructions, routines anddata. The term shall accordingly be taken to include, but not be limitedto, solid-state memories, and optical and magnetic media, includingmemory internal or external to processors. Specific examples ofmachine-storage media, computer-storage media and device-storage mediainclude non-volatile memory, including by way of example semiconductormemory devices, e.g., erasable programmable read-only memory (EPROM),electrically erasable programmable read-only memory (EEPROM), FPGA, andflash memory devices; magnetic disks such as internal hard disks andremovable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks Theterms “machine-storage medium,” “device-storage medium,”“computer-storage medium” mean the same thing and may be usedinterchangeably in this disclosure. The terms “machine-storage media,”“computer-storage media,” and “device-storage media” specificallyexclude carrier waves, modulated data signals, and other such media, atleast some of which are covered under the term “signal medium.”

“Non-transitory computer-readable storage medium” refers to a tangiblemedium that is capable of storing, encoding, or carrying theinstructions for execution by a machine.

“Signal medium” refers to any intangible medium that is capable ofstoring, encoding, or carrying the instructions for execution by amachine and includes digital or analog communications signals or otherintangible media to facilitate communication of software or data. Theterm “signal medium” shall be taken to include any form of a modulateddata signal, carrier wave, and so forth. The term “modulated datasignal” means a signal that has one or more of its characteristics setor changed in such a matter as to encode information in the signal. Theterms “transmission medium” and “signal medium” mean the same thing andmay be used interchangeably in this disclosure.

Example 1 is a method comprising: receiving a uniform resource locator(URL) based on a user interaction with a website, the user interactiontriggering an event on the website; determining, using a processor, aportion of the URL; comparing, using a regular expression, the portionof the URL to entries in a specified product name column of thedatabase; identifying a product in the specified product name columncorresponding to the portion of the URL based on comparing the portionof the URL; and outputting an indication of the product.

In Example 2, the subject matter of Example 1 includes, wherein the userinteraction includes a user selecting an indication to purchase theproduct on the website.

In Example 3, the subject matter of Examples 1-2 includes, wherein theportion of the URL corresponds to a product identifier.

In Example 4, the subject matter of Examples 1-3 includes, wherein thespecified product name column includes stock keeping units (SKUs)corresponding to products.

In Example 5, the subject natter of Examples 1-4 includes, wherein thespecified product name column includes multiple product variantscorresponding to the portion of the URL, and wherein the product is afirst product of the multiple product variants that is identified whencomparing the portion of the URL.

In Example 6, the subject matter of Examples 1-5 includes, wherein theportion of the URL and the specified product name column are determinedbased on the website.

In Example 7, the subject matter of Examples 1-6 includes, providing aninsight related to the user interaction for the product at the website.

In Example 8, the subject matter of Examples 1-7 includes, displayingthe indication of the product.

Example 9 is a computing apparatus, the computing apparatus comprising:a processor; and a memory storing instructions that, when executed bythe processor, configure the apparatus to: receive a uniform resourcelocator (URL) based on a user interaction with a website, the userinteraction triggering an event on the website; determine a portion ofthe URL; compare, using a regular expression, the portion of the URL toentries in a specified product name column of the database; identify aproduct in the specified product name column corresponding to theportion of the URL based on comparing the portion of the URL; and outputan indication of the product.

In Example 10, the subject matter of Example 9 includes, wherein theuser interaction includes a user selecting an indication to purchase theproduct on the website.

In Example 11, the subject matter of Examples 9-10 includes, wherein theportion of the URL corresponds to a product identifier.

In Example 12 , the subject matter of Examples 9-11 includes, whereinthe specified product name column includes stock keeping units (SKUs)corresponding to products.

In Example 13, the subject matter of Examples 9-12 includes, wherein thespecified product name column includes multiple product variantscorresponding to the portion of the URL, and wherein the product is afirst product of the multiple product variants that is identified whencomparing the portion of the URL.

In Example 14, the subject matter of Examples 9-13 includes, wherein theportion of the URL and the specified product name column are determinedbased on the website.

In Example 15, the subject matter of Examples 9-14 includes, wherein thecomputing apparatus further comprises a display device to present theindication of the product on a user interface.

Example 16 is at least one non-transitory machine-readable mediumincluding instructions, which when executed by processing circuitry,cause the processing circuitry to perform operations to: receive auniform resource locator (URL) based on a user interaction with awebsite, the user interaction triggering an event on the website;determine a portion of the URL; compare, using a regular expression, theportion of the URL to entries in a specified product name column of thedatabase; identify a product in the specified product name columncorresponding to the portion of the URL based on comparing the portionof the URL; and output an indication of the product.

In Example 17, the subject matter of Examples 14-16 includes, whereinthe user interaction includes a user selecting an indication to purchasethe product on the website.

In Example 18, the subject matter of Examples 14-17 includes, whereinthe portion of the URL corresponds to a product identifier.

In Example 19, the subject matter of Examples 14-18 includes, whereinthe specified product name column includes stock keeping units (SKUs)corresponding to products.

In Example 20, the subject matter of Examples 14-19 includes, whereinthe instructions further cause the processing circuitry to performoperations to provide an insight related to the user interaction for theproduct at the website.

Example 21 is at least one machine-readable medium includinginstructions that, when executed by processing circuitry, cause theprocessing circuitry to perform operations to implement of any ofExamples 1-20.

Example 22 is an apparatus comprising means to implement of any ofExamples 1-20.

Example 23 is a system to implement of any of Examples 1-20.

Example 24 is a method to implement of any of Examples 1-20.

1. A method comprising: receiving a uniform resource locator (URL) basedon a user interaction with a website, the user interaction triggering anevent on the website; comparing the URL to entries in a specifiedproduct name column of a database; in response to the URL comparisonproviding no result for the URL in the database, determining, using aprocessor, a portion of the URL; comparing, using a regular expression,the portion of the URL to the entries in the specified product namecolumn of the database; identifying a product in the specified productname column corresponding to the portion of the URL based on comparingthe portion of the URL; and outputting an indication of the product. 2.The method of claim 1, wherein the user interaction includes a userselection to purchase the product on the website.
 3. The method of claim1, wherein the portion of the URL corresponds to a product identifier.4. The method of claim 1, wherein the specified product name columnincludes stock keeping units (SKUs) corresponding to products.
 5. Themethod of claim 1, wherein the specified product name column includesmultiple product variants corresponding to the portion of the URL, andwherein the product is a first product of the multiple product variantsthat is identified when comparing the portion of the URL.
 6. The methodof claim 1, wherein the portion of the URL and the specified productname column are determined based on the website.
 7. The method of claim1, further comprising providing an insight related to the userinteraction for the product at the website.
 8. The method of claim 1,further comprising displaying the indication of the product.
 9. Acomputing apparatus, the computing apparatus comprising: a processor;and a memory storing instructions that, when executed by the processor,configure the apparatus to: receive a uniform resource locator (URL)based on a user interaction with a web site, the user interactiontriggering an event on the website; compare the URL to entries in aspecified product name column of a database; in response to the URLcomparison providing no result for the URL in the database, determine aportion of the URL; compare, using a regular expression, the portion ofthe URL to the entries in the specified product name column of thedatabase; identify a product in the specified product name columncorresponding to the portion of the URL based on comparing the portionof the URL; and output an indication of the product.
 10. The computingapparatus of claim 9, wherein the user interaction includes a userselection to purchase the product on the website.
 11. The computingapparatus of claim 9, wherein the portion of the URL corresponds to aproduct identifier.
 12. The computing apparatus of claim 9, wherein thespecified product name column includes stock keeping units (SKUs)corresponding to products.
 13. The computing apparatus of claim 9,wherein the specified product name column includes multiple productvariants corresponding to the portion of the URL, and wherein theproduct is a first product of the multiple product variants that isidentified when comparing the portion of the URL.
 14. The computingapparatus of claim 9, wherein the portion of the URL and the specifiedproduct name column are determined based on the website.
 15. Thecomputing apparatus of claim 9, wherein the computing apparatus furthercomprises a display device to present the indication of the product on auser interface.
 16. At least one non-transitory machine-readable mediumincluding instructions, which when executed by processing circuitry,cause the processing circuitry to perform operations to: receive auniform resource locator (URL) based on a user interaction with a website, the user interaction triggering an event on the website; comparethe URL to entries in a specified product name column of a database; inresponse to the URL comparison providing no result for the URL in thedatabase, determine a portion of the URL; compare, using a regularexpression, the portion of the URL to the entries in the specifiedproduct name column of the database; identify a product in the specifiedproduct name column corresponding to the portion of the URL based oncomparing the portion of the URL; and output an indication of theproduct.
 17. The at least one machine-readable medium of claim 16,wherein the user interaction includes a user selection to purchase theproduct on the website.
 18. The at least one machine-readable medium ofclaim 16, wherein the portion of the URL corresponds to a productidentifier.
 19. The at least one machine-readable medium of claim 16,wherein the specified product name column includes stock keeping units(SKUs) corresponding to products.
 20. The at least one machine-readablemedium of claim 16, wherein the instructions further cause theprocessing circuitry to perform operations to provide an insight relatedto the user interaction for the product at the website.
 21. The methodof claim 1, wherein comparing the URL to the entries in the specifiedproduct name column of the database includes using a second regularexpression different from the regular expression.
 22. The method ofclaim 1, further comprising, in response to the portion of the URLcomparison providing no result for the portion of the URL in thedatabase, comparing the portion of the URL to the entries in thespecified product name column of the database using a second regularexpression.
 23. The method of claim 1, further comprising, in responseto the portion of the URL comparison providing no result for the portionof the URL in the database, comparing the portion of the URL to secondentries in a second specified column of the database using the regularexpression.
 24. The method of claim 1, wherein determining, using theprocessor, the portion of the URL includes using a second regularexpression to extract the portion of the URL from the URL.